What problem does it solve?
Code review reduces the risk of shipping incorrect, insecure, or poorly tested changes by turning a pull request into structured, actionable feedback.
Core Features & Use Cases
- Correctness review: checks whether changes match the stated intent, cover edge cases, and use correct return types and error handling.
- Security review: flags common vulnerabilities such as injection issues, unsafe input handling, missing auth checks, and SSRF-prone URL handling.
- Quality validation: evaluates test coverage (including error paths and edge cases), style consistency, and performance concerns like unnecessary loops or N+1 patterns.
- Use case: Review a PR that modifies request validation and data access to ensure it handles null inputs safely, adds deterministic tests for failure modes, and maintains consistent formatting with the existing codebase.
Quick Start
Ask the AI to review the following pull request diff for correctness, security, tests, style, and performance, and to respond using the required summary and severity-tagged findings format.